Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
نویسندگان
چکیده
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology machine learning present transformative opportunity the drug discovery, formulation, testing of pharmaceutical dosage forms. By utilizing algorithms analyze extensive biological data, including genomics proteomics, researchers can identify disease-associated targets predict their interactions with potential candidates. This enables more efficient targeted approach thereby increasing likelihood successful approvals. Furthermore, contribute reducing development costs by optimizing research processes. Machine assist experimental design pharmacokinetics toxicity capability prioritization optimization lead compounds, need for costly animal testing. Personalized medicine approaches be facilitated through real-world patient leading effective treatment outcomes improved adherence. comprehensive review explores wide-ranging applications delivery form designs, process optimization, testing, pharmacokinetics/pharmacodynamics (PK/PD) studies. an overview various AI-based utilized technology, highlighting benefits drawbacks. Nevertheless, continued investment exploration industry offer exciting prospects enhancing processes care.
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ژورنال
عنوان ژورنال: Pharmaceutics
سال: 2023
ISSN: ['1999-4923']
DOI: https://doi.org/10.3390/pharmaceutics15071916